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Bug Finding Jobs (NOW HIRING)

QFocus Technologies LLC

Emulation Engineer

Sunnyvale, CA · On-site

$161K - $197K/yr

Support validation team in execute comprehensive test content, including bare-metal and OS-based tests, to accelerate bug finding in pre-silicon on the emulation platform. * Collaboration: Work ...

Fastbreak AI

QA Engineer

Charlotte, NC · Hybrid

Creative bug-finding skills - demonstrated ability to think outside the box, anticipate user behavior, and discover non-obvious issues * Hands-on automation experience with web and mobile ...

Fastbreak AI

QA Engineer

Charlotte, NC · On-site

Creative bug-finding skills - demonstrated ability to think outside the box, anticipate user behavior, and discover non-obvious issues * Hands-on automation experience with web and mobile ...

Fastbreak AI

QA Engineer

Charlotte, NC · On-site

Creative bug-finding skills - demonstrated ability to think outside the box, anticipate user behavior, and discover non-obvious issues * Hands-on automation experience with web and mobile ...

MAXAR TECHNOLOGIES, INC.

AI Workflow Development & Implementation (Hands-On) Design, prototype, and validate agentic and AI‑assisted workflows for coding, testing, documentation, code review, bug finding, repository ...

SiFive, Inc.

$100K - $122K/yr

Develop and maintain robust verification environments, checkers, scoreboards, assertions, stimulus, and coverage models that expose corner cases and improve bug-finding efficiency.* Partner closely ...

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How much do bug finding jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for bug finding in the United States is $52.71, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $59.62 per hour, depending on experience, location, and employer.

What is a bug finding?

A Bug Finding job involves identifying, analyzing, and reporting software defects that may impact functionality, security, or user experience. Professionals in this role use manual testing, automated tools, and debugging techniques to uncover issues in applications or systems. They often work closely with developers and QA teams to ensure software quality and reliability. Effective bug finding helps companies maintain smooth operations, improve user satisfaction, and prevent costly errors.

What are the key skills and qualifications needed to thrive in bug finding, and why are they important?

To thrive in a Bug Finding role, strong analytical thinking, attention to detail, and proficiency in programming languages and software testing methodologies are essential, often supported by a background in computer science or related fields. Familiarity with tools like Selenium, JIRA, Bugzilla, and knowledge of common debugging and automation frameworks is highly valued, and certifications such as ISTQB can be advantageous. Persistence, effective communication, and problem-solving abilities help professionals collaborate with developers and relay findings clearly. These competencies ensure that software products are thoroughly evaluated, resulting in higher quality releases and enhanced user satisfaction.

What are the typical challenges faced by someone working in bug finding, and how can they overcome them?

Professionals in Bug Finding often encounter challenges such as identifying elusive or intermittent bugs, reproducing issues accurately, and prioritizing defects based on their impact. Staying up-to-date with rapidly evolving technologies and learning new testing tools can also be demanding. Overcoming these challenges involves cultivating strong problem-solving skills, staying engaged with industry best practices, and collaborating closely with development teams for efficient troubleshooting. Continuous learning and open communication are key to ensuring both individual success and the delivery of reliable software products.

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Infographic showing various Bug Finding job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,635 per year, or $52.7 per hour.

Senior Offensive Security Engineer, Automotive

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$134K - $184K/yr

Full-time

Re-posted just now

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities.
What you'll be doing:
You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion. You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization
What we need to see:
  • 7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK) proficiency a plus.
  • B.S. or equivalent experience in Computer Science or a related field.
  • Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software and identifying security flaws.
  • Experience with embedded software engineering. Deep understanding of foundational computer science concepts and security principles.
  • Experience building automated security tooling: fuzzers, sanitizers, static/dynamic analysis at the source and binary level.
  • Knowledge of current operating system architectures and security frameworks, with a particular focus on Linux.
  • Proven understanding of x86 and ARM architecture.
  • Hands-on experience developing and building agentic AI systems: multi-agent orchestration, tool-use pipelines, and applying them to automate security or engineering workflows.

Ways to stand out from the crowd:
  • Involvement in CTF competitions, bug bounty contributions, published security research, or personal software projects.
  • Extensive experience with formal methods or memory-safe languages (e.g. Ada/SPARK, Rust, TLA+, Lean) for hardening low-level code and architecture.
  • RISC-V knowledge is a strong plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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